Abstract

Process reuse technology has been widely studied and applied in the manufacturing industry. However, the current NC machining process reuse generally assumes that the micro process is compatible with the macro process but, in fact, reusable processes from similar local structures from multiple parts are usually incompatible with each other when under the overall manufacturing requirements of the target parts. As a result, a large number of user interactions are still required for modification and adjustment in practical engineering applications and process reuse do not provide a significant improvement to the design efficiency. Therefore, an efficient NC process scheme generation method based on reusable macro and micro process fusion is proposed in this paper. Firstly, according to the calculation of semantic distance of process design intention, the micro process is mapped to the macro process to realize fusion of the two processes, and a compatibility credibility evaluation model is established to evaluate the fusion results. Then, when the fusion result is credible, the machining areas corresponding to the process scheme are adjusted and optimized at the geometric level. The adjustment and optimization of machining areas provides the integration of machining areas and the optimization of the machining sequence. Finally, the effectiveness and feasibility of the proposed method are verified through a test of example parts.

Highlights

  • In recent years, driven by the emergence of cloud computing, big data, the development of the Internet of things and other new generation artificial intelligence technologies,1 3 Vol.:(0123456789)The International Journal of Advanced Manufacturing Technology support the improvement of process design efficiency, such as group technology-based process reuse [5], template-based process reuse [6,7,8], and case-based process reuse [9].in current process design methods, the application of NC process reuse mainly focuses on the micro process level, while human interactive design pays more attention to the macro process level

  • Based on the above background and requirements, an efficient NC process scheme generation method based on reusable macro and micro process fusion is proposed in this paper

  • 5.2.2 Machining area fusion analysis based on design structure matrix In NC process design based on machining features, the machining areas under different working steps are attached to machining features, which are related to the process information such as the working procedure and the working step

Read more

Summary

Introduction

Driven by the emergence of cloud computing, big data, the development of the Internet of things and other new generation artificial intelligence technologies,. Because reusable processes have the characteristics of being multi-source (from multiple parts), heterogeneous (heterogeneity of manufacturing resources, difference of process parameters, etc.), and local (feature level or local structure level), it is usually difficult to accommodate reusable micro and macro processes, resulting in many breakpoints and adjustment/integration requirements. Through the continuous iterative integration and evaluation of multi-source macro and micro process, the initial NC process scheme can be generated quickly. Based on the above background and requirements, an efficient NC process scheme generation method based on reusable macro and micro process fusion is proposed in this paper. In order to make full use of cutting tool’s machining ability, the machining areas are integrated, the machining sequence is adjusted, and a “one size fits all” approach is used to realize the fusion and optimization of the NC process

NC process reuse
Automatic process adaptation
Machining process optimization
Overview of the approach
Adjustment and optimization of the machining process
Principle of reusable process fusion of multi‐source similar parts
NC process scheme generation based on reusable process fusion
Compatibility evaluation of fusion result of micro process and macro process
Process information representation based on semantics
Similarity evaluation of process design intention
Concept similarity
Concept relationship similarity
Attribute similarity
Overall matching of macro process and micro process
Compatibility credibility evaluation model construction
Optimization and adjustment of machining area
Interaction between features and calculation of machining area
Machining area fusion analysis based on design structure matrix
L1 a Contour
Machining sequence optimization based on swarm intelligence
The machining sequence representation and optimization goal
Acceptance criteria
Machining area sequence optimization based on chaos‐simulated annealing
Initial temperature
Attenuation function
Stopping criteria
Case study
Compatibility evaluation case
Machining area fusion analysis case
Machining sequence optimization case
Design efficiency analysis
Findings
Conclusion and future work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call